title: Statistical significance of task related deep brain EEG dynamic changes in the time-frequency domain.
abstract: We present an off-line analysis procedure for exploring brain activity recorded from intra-cerebral electroencephalographic data (SEEG). The objective is to determine the statistical differences between different types of stimulations in the time-frequency domain. The procedure is based on computing relative signal power change and subsequent statistical analysis. An example of characteristic statistically significant event-related de/synchronization (ERD/ERS) detected across different frequency bands following different oddball stimuli is presented. The method is used for off-line functional classification of different brain areas.
authors.forename: J
authors.initials: J
authors.lastname: Chládek
authors.forename: M
authors.initials: M
authors.lastname: Brázdil
authors.forename: J
authors.initials: J
authors.lastname: Halámek
authors.forename: F
authors.initials: F
authors.lastname: Plešinger
authors.forename: P
authors.initials: P
authors.lastname: Jurák
mesh_terms: D001921:Brain / Q000502:physiology*; D004569:Electroencephalography; D005071:Evoked Potentials / Q000502:physiology; D006801:Humans; D011336:Probability; D012815:Signal Processing, Computer-Assisted; D013223:Statistics as Topic; D013647:Task Performance and Analysis; D013997:Time Factors